Matthew Schenk1, Fabian Eichelmann1, Matthias B Schulze2,3,4,5, Natalia Rudovich3,6,7,8, Andreas F Pfeiffer3,6,7, Romina di Giuseppe9, Heiner Boeing10, Krasimira Aleksandrova1,5. 1. Senior Scientist Group Nutrition, Immunity & Metabolism, Department of Nutrition & Gerontology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. 2. Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. 3. German Centre for Diabetes Research, Germany. 4. DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany. 5. University of Potsdam, Institute of Nutritional Science, Potsdam, Germany. 6. Department of Clinical Nutrition, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. 7. Department of Endocrinology, Diabetes & Nutrition, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany. 8. Division of Endocrinology & Diabetes, Department of Internal Medicine, Spital Bülach, Bülach, Switzerland. 9. Institute of Epidemiology, Christian-Albrechts University Kiel, Kiel, Germany. 10. Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Abstract
Aim: Assessment of the feasibility and reliability of immune-inflammatory biomarker measurements. Methods: The following biomarkers were assessed in 207 predominantly healthy participants at baseline and after 4 months: MMF, TGF-β, suPAR and clusterin. Results: Intraclass correlation coefficients (95% CIs) ranged from good for TGF-β (0.75 [95% CI: 0.33-0.90]) to excellent for MMF (0.81 [95% CI: 0.64-0.90]), clusterin (0.83 [95% CI: 0.78-0.87]) and suPAR (0.91 [95% CI: 0.88-0.93]). Measurement of TGF-β was challenged by the large number of values below the detection limit. Conclusion: Single measurements of suPAR, clusterin and MMF could serve as feasible and reliable biomarkers of immune-inflammatory pathways in biomedical research.
Aim: Assessment of the feasibility and reliability of immune-inflammatory biomarker measurements. Methods: The following biomarkers were assessed in 207 predominantly healthy participants at baseline and after 4 months: MMF, TGF-β, suPAR and clusterin. Results: Intraclass correlation coefficients (95% CIs) ranged from good for TGF-β (0.75 [95% CI: 0.33-0.90]) to excellent for MMF (0.81 [95% CI: 0.64-0.90]), clusterin (0.83 [95% CI: 0.78-0.87]) and suPAR (0.91 [95% CI: 0.88-0.93]). Measurement of TGF-β was challenged by the large number of values below the detection limit. Conclusion: Single measurements of suPAR, clusterin and MMF could serve as feasible and reliable biomarkers of immune-inflammatory pathways in biomedical research.
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